Data Analyst
6 months
Hybrid - 1-2 Days per week on site in London
£#removed# per day (Inside IR35)
***The selected candidate MUST HAVE experience in London Markets***
Key Skills & Experience
- Draft the scope for the data and analytics workstream with understanding of all end user requirements and KPIs
- Develop BRDs, data mapping specifications, refined PBIs with clear articulation of user stories and acceptance criteria for data modellers and data engineers
- Analyse delegated authority data source through profiling, exploratory queries including quality validation to support medallion layer transformations in data and analytics platform
- Ensures all quality criteria for every requirement and evaluates according to importance and/or stability.
- Undertake through analysis of existing delegated authority reports and extracts, understanding sources, transformations and logic for reuse while identifying scope for new requirements and data specifications.
- Collaborate with business stakeholders, data engineers, data modellers, and data architects to ensure mapping logic meets analytics, regulatory and data governance requirements
Experience required
- Experience as a Business/System/Data analyst delivering data projects for P&C, Speciality insurance projects with exposure to Lloyds/London Market and Syndicate data structures is required.
- Domain knowledge of Delegated authority, mainly working on VIPR integration, can be advantageous
- Excellent communication for cross-functional teams and building working relationships with all key stakeholders is essential.
- Proficiency in Databricks medallion architecture and understanding of logical and physical modelling
- Proven ability to document requirements and produce detailed mapping and data transformation specifications
- Understanding of MGA and Lloyd's Market operating models, including their unique challenges and requirements
- Strong understanding of GDPR, Solvency II, and Lloyds regulatory and reporting requirements.
- Functional knowledge of cloud data platforms (Azure Data Factory, Databricks) can be advantageous
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